Learn how Open-Notebook and Open Paper differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai research assistants is best for you.
Last 30 days
Last commit
16 hours agoRepository age
2 yearsVersion
v1.15.0License
MITSelf-hosted
YesRepository
lfnovo/open-notebook
Last 30 days
Last commit
21 hours agoRepository age
2 yearsLicense
AGPL-3.0Repository
khoj-ai/openpaper
Open-Notebook appears to have several advantages over Open Paper, particularly in popularity, licensing and features. Consider your specific needs regarding popularity, growth, activity, maturity, licensing and features when making your decision.
Open-Notebook significantly outpaces Open Paper in community adoption with 40,591 stars compared to 510 stars on GitHub. This 79.6x difference suggests Open-Notebook has a much larger and more active community. In terms of developer contributions, Open-Notebook has 4,663 forks, indicating strong developer engagement.
Open Paper is growing faster, adding 27 stars in the last 30 days (+5.6%) against adding 1,067 stars for Open-Notebook (+2.7%). Open Paper is the smaller project of the two, so it is closing the gap rather than extending a lead.
Both projects show recent activity, with Open-Notebook last updated 16 hours ago and Open Paper 21 hours ago.
Both projects started around the same time, with Open-Notebook beginning 2 years ago and Open Paper 2 years ago.
Open-Notebook uses the MIT license, which is more permissive than Open Paper's AGPL-3.0 license, potentially offering greater flexibility for commercial use and integration.
Both tools serve similar use cases in AI Research Assistants. However, they also have distinct specializations: Open-Notebook also focuses on Data Platforms for AI, Note Taking & Knowledge Management.
Open-Notebook provides self-hosting options for complete data control and customization, while Open Paper may be primarily cloud-based or require different deployment approaches.